As one of the earliest major players in the field, IBM has taken a leading role in making quantum computing accessible and practical for researchers, developers, and enterprises worldwide. Through a combination of hardware innovation, open-source tools, and cloud-based access, IBM aims to accelerate the path toward scalable, fault-tolerant quantum systems.
As the field of quantum computing advances toward practical applications, the emerging era of quantum utility calls for a computing stack that can reliably support large-scale execution of quantum algorithms on world-class hardware.
To meet this demand, IBM Quantum, in collaboration with its global network of academic, industrial, and government partners, is building an integrated ecosystem that simplifies the complexities of quantum development while delivering measurable performance gains. This includes a comprehensive suite of tools for circuit design, error mitigation, and system optimization, empowering users to experiment, innovate, and scale their quantum workloads more efficiently.
IBM has outlined a clear and ambitious roadmap, with a commitment to build the first large-scale, fault-tolerant quantum computer by 2029. Achieving this milestone involves overcoming critical challenges in qubit stability, error correction, and modular hardware design, all of which are actively being addressed through IBM’s ongoing research and engineering efforts..
Today, IBM offers cloud-based access to the most advanced quantum processors currently available, supported by its open-source software framework, Qiskit, and backed by one of the most extensive partner ecosystems in the quantum industry.
With over 250 organizations actively participating, including Fortune 500 companies, national laboratories, and leading universities, IBM is helping to shape the future of quantum computing across domains such as materials science, cryptography, optimization, and machine learning.
By bringing together high-performance quantum hardware, intuitive software tools, and a collaborative innovation model, IBM Quantum is not only pushing the boundaries of what’s possible in the quantum space, but it is laying the groundwork for a new computational paradigm that can solve problems far beyond the reach of classical systems.
We have entered the era of quantum utility, where quantum systems are now demonstrating clear advantages over classical computers in specific quantum tasks. This shift allows researchers and developers to begin exploring novel algorithms and actively pursue quantum advantage. IBM’s roadmap highlights key milestones on this journey, including its plan to reach practical quantum advantage by 2026.
Looking ahead to 2029, IBM aims to introduce Starling, a large-scale, fault-tolerant quantum computer designed to run circuits with 100 million quantum gates across 200 logical qubits. This groundbreaking system is currently under development at IBM’s iconic facility in Poughkeepsie, New York, marking a major step toward scalable quantum computing.
The Canary series features compact quantum processors ranging from 5 to 16 qubits, built on an optimized 2D lattice architecture where both the qubits and their readout resonators share a single chip layer.
These lightweight devices serve as early-stage development platforms and offer a foundation for exploring core architectural principles in IBM’s quantum roadmap.
With a quantum volume of 128, the Falcon family plays a critical role in running medium-scale quantum circuits and acts as a stepping stone for validating system upgrades before they are implemented in larger devices.
First introduced in February 2020, the Falcon r1 model featured 28 qubits and independent readout lines, a departure from the multiplexed readouts used in later revisions. This generation also pioneered IBM’s heavy-hex connectivity graph, optimized for cross-resonance two-qubit gates, and employed flip-chip packaging to support higher qubit density.
Launched in December 2022, the Egret processor delivered a quantum volume of 512, marking the highest performance among IBM’s QPUs at the time.
Egret’s standout feature lies in its tunable couplers, enabling faster and more reliable two-qubit operations with fidelities approaching 99.9%. Featuring 33 qubits, Egret reduces spectator errors while dramatically enhancing overall gate performance, making it a notable leap forward in IBM’s pursuit of quantum utility.
The Hummingbird family supports systems of up to 65 qubits using IBM’s signature heavy-hex layout. Introduced in Q3 2020, Hummingbird incorporates several enhancements originally tested on Falcon processors, including multiplexed readout, space-efficient couplers, and flip-chip technology.
These improvements allowed Hummingbird to scale gracefully to a 65-qubit configuration, facilitating the execution of more complex quantum circuits.
With 127 qubits, the Eagle processor represents a major milestone in scalability. Launched in December 2022, Eagle includes multi-layer chip architecture, enabling signal routing through stacked layers to support dense I/O configurations without compromising performance.
The Eagle r3 variant preserves the original architecture while offering improved coherence times, contributing to enhanced overall system stability and fidelity.
At 433 qubits, the Osprey processor nearly quadruples the size of the Eagle chip. This leap required major advancements in device packaging, including custom high-density flex cabling within the cryogenic environment to accommodate the increased number of connections.
Osprey pushes the boundary of large-scale quantum processing and sets the stage for fault-tolerant designs.
Unveiled in July 2024, the Heron processor delivers 156 qubits and a quantum volume of 512, making it a performance successor to Egret while maintaining the physical scale of Eagle.
Heron integrates signal delivery improvements from Osprey and introduces TLS (two-level system) mitigation techniques, significantly improving coherence and signal stability across the chip. With a redesigned heavy-hex lattice and cutting-edge signal routing, Heron stands out as a robust platform for high-fidelity quantum computation at scale.
IBM Quantum Nighthawk serves as IBM’s foundational platform for pushing the boundaries of quantum advantage, paving the way for the era of large-scale, fault-tolerant quantum computing. Unlike earlier generations of processors that relied on a heavy-hex lattice, where each qubit connected to up to three neighbors, Nighthawk introduces a square lattice structure, increasing each qubit’s connectivity to four neighbors.
This architectural upgrade allows for more efficient circuit execution, as it reduces the number of gates needed for routing information between qubits. As a result, users can implement more complex algorithms without increasing gate overhead. Combined with advanced error-reduction strategies, Nighthawk is designed to support quantum circuits of increasing depth, 5,000 gates by 2025, 7,500 by 2026, 10,000 by 2027, and 15,000 by 2028.
As the Nighthawk architecture continues to mature, IBM anticipates that its internal teams and external collaborators will achieve significant milestones in the journey toward practical quantum advantage.
In parallel, IBM is advancing toward the development of IBM Quantum Starling, a powerful system designed to execute circuits containing 100 million gates across 200 logical qubits, with a targeted launch by 2029. Looking further ahead, IBM Quantum Blue Jay is set to debut in 2033, bringing the capability to run billion-gate circuits on a platform of 2,000 logical qubits.
These forthcoming large-scale, fault-tolerant quantum systems are expected to usher in an entirely new phase of algorithmic sophistication and application discovery. Importantly, developers won’t need to modify the way they write quantum code. Instead, they’ll experience a seamless expansion in capability, simply gaining the ability to run longer, more complex quantum workloads than ever before.
Qiskit is an umbrella term for a suite of software tools that support the development and execution of quantum computing programs.
Many of these tools are developed by IBM, while others are supported by a vibrant open-source community. Altogether, Qiskit provides a robust and scalable foundation for developers, researchers, and enterprises exploring the full potential of quantum computing.
At the core of this ecosystem is the Qiskit SDK, an open-source software development kit that enables users to work with quantum circuits, operators, and primitives across various stages of quantum program design.
The Qiskit SDK offers extensive functionality for quantum development. It includes tools for building quantum circuits, a library of predefined quantum gates and circuits, and modules for quantum state and operator analysis.
The SDK also includes a transpiler for optimizing circuits to match specific hardware requirements, and primitives such as Sampler and Estimator, which form the foundation for executing quantum tasks.
Alongside Qiskit SDK, Qiskit Runtime, a cloud-based execution environment, allows for high-performance quantum workloads on IBM Quantum processors (QPUs), leveraging both classical and quantum resources.
Qiskit Runtime, delivered via the qiskit-ibm-runtime package, optimizes execution on IBM hardware. It introduces job management modes, Job, Session, and Batch, designed to support a variety of quantum use cases from single queries to iterative and parallel workloads.
This environment enhances results through techniques like error suppression and mitigation, pushing the boundaries of what today’s noisy quantum devices can accomplish.
Complementing this, Qiskit Serverless simplifies hybrid quantum-classical workload management and allows developers to deploy programs and manage resources across cloud and quantum platforms with ease.
Qiskit Functions, a growing catalog of high-level services, help accelerate the discovery of new algorithms and the development of real-world applications. These functions abstract lower-level circuit optimization and post-processing tasks, enabling users to focus on innovation rather than infrastructure.
The Qiskit Addons ecosystem further extends capabilities for advanced users. These modular components plug into existing workflows to scale or customize quantum algorithm development.
Projects like Qiskit Aer (for noise-aware simulations), qBraid SDK (a cross-platform job management tool), and mthree (a sophisticated measurement error mitigation package) exemplify the collaborative and extensible nature of the Qiskit framework.
In the coming years, advances in quantum computing are expected to pose serious threats to widely used public-key cryptographic (PKC) systems such as RSA and Diffie-Hellman. Even today, encrypted data transmitted through classical methods is at risk. Malicious actors are already collecting this encrypted data with the intent to decrypt it in the future, once quantum computing becomes capable, an emerging threat strategy known as “harvest now, decrypt later.”
The backbone of the digital economy relies on cryptography to ensure secure communication and protect sensitive transactions. Once quantum computers reach the capability to break conventional encryption, vast stores of confidential data, including financial records, personal information, mobile communications, network traffic, and intellectual property, could be exposed. The implications go beyond financial loss; they strike at the very heart of digital trust between organizations and their customers, partners, and stakeholders.
To better understand organizational readiness in the face of this growing threat, the IBM Institute for Business Value (IBM IBV), in collaboration with Oxford Economics, conducted a global survey of 565 C-suite executives across 15 countries and 13 industries. All participating organizations reported annual revenues of at least $250 million. The findings informed the creation of the IBM Quantum-Safe Readiness Index (QSRI), a tool designed to help leaders evaluate and accelerate their preparedness for a quantum-safe future.
The QSRI evaluates organizational readiness across 14 key indicators grouped into three critical domains: quantum-safe
Each indicator is weighted based on IBM’s deep industry knowledge and experience with clients. Scores are measured on a 100-point scale, where 100 indicates full preparedness. This structured index not only helps organizations assess their current state but also offers a framework for tracking progress over time, across industries, regions, and business sizes.
As of this study’s release, the global average score sits at 21 out of 100, signaling that most organizations are still in the early stages of preparing for the quantum era. This data serves as a wake-up call: quantum-safe transformation is no longer optional; it is essential to maintaining trust and resilience in the digital economy.
The advancement of IBM Quantum Computing marks a significant milestone in our journey toward a new era of computational capability.
With sustained innovations across quantum hardware families, such as Falcon, Heron, Nighthawk, and the forthcoming Starling and Blue Jay, IBM is laying the foundation for scalable, fault-tolerant quantum systems designed to tackle problems that are beyond the reach of classical computers.
Through initiatives like Qiskit and the IBM Quantum-Safe Readiness Index, the company continues to empower developers, researchers, and enterprises to build quantum solutions that are both powerful and secure.
The information presented in this article has been drawn from a range of technical documentation and corporate research insights that collectively highlight IBM’s role at the forefront of quantum computing.
As the field moves closer to practical applications and quantum advantage, IBM’s strategic roadmap and open-source contributions stand as a guiding framework for quantum innovation worldwide.
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